Tensors for Data Processing

Name: Tensors for Data Processing
Brand: Elsevier Science Publishing Co Inc
SKU: 9780128244470
Price: 782.52 RON
Availability: InStock

Theory, Methods, and Applications

Autor: Yipeng Liu

Limbă:

Legare: Carte broșată

Editura: Elsevier Science Publishing Co Inc

Disponibilitate: În depozitul extern

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782.52 lei

As a higher-order generalization of a matrix, a tensor is a natural representation for multi-dimensi...

Informații despre carte

Autor

Yipeng Liu

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2021

Pagini

596

EAN

9780128244470

Enbook ID

35543540

Editura

Elsevier Science Publishing Co Inc

Greutate

1232

Dimensiuni

317 x 193 x 40

Descriere completă

As a higher-order generalization of a matrix, a tensor is a natural representation for multi-dimensional data; tensor based processing can avoid multi-linear data structure loss that occurs in classical matrix based data processing methods. The move from matrix to tensors is beneficial for many diverse application areas, including signal processing, computer science, acoustics, neuroscience, communication, medical engineering, seismology, psychometric, chemometrics, biometric, quantum physics, quantum chemistry. Tensors for Data Processing: presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This reference is ideal for students, researchers, industry developers who want to understand and use tensor based data processing theories and methods. A complete reference on classical and state-of-the-art tensor based methods for data processingA wide range of applications from different disciplinesGives guidance for their application

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Tensors for Data Processing

Theory, Methods, and Applications

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Descriere completă

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